International audienceThis work deals with the identification of stochastic parameters in a nonlinear single degree-of-freedom system. For this purpose, a stochastic version of the restoring force surface method is proposed and used to identify the parameters of a clamped-free beam, with nonlinear effects induced by the presence of a magnet near to the free extremity. This system recalls a Duffing oscillator, which is used as mechanical-mathematical model. In order to validate the obtained stochastic model, experimental and theoretical responses are compared in time and frequency domains, taking into account a probabilistic band of confidence. The results show that obtained stochastic model adequately predict the beam's vibration responses,...
In this paper, a strongly nonlinear beam-impact system under both broad-banded and small-banded, Gau...
In this paper, the problem of random vibration of geometrically nonlinear MDOF structures is conside...
Stochastic finite element methods (SFEM) have been developed for thirty years to study uncertainty p...
International audienceThis work proposes a model of a nonlinear beam-shaker as a Duffing oscillator....
National audienceThe goal of this work is to identify the probability density function associated wi...
The response of strongly nonlinear dynamic systems to stochastic excitation exhibits many interestin...
International audienceThe damage detection problem becomes a more difficult task when the intrin-sic...
With an ongoing desire to improve product performance, in combination with the continuously growin...
Stochastic or random vibrations occur in a variety of applications of mechanicalengineering. Example...
The main aim of this work is numerical solution of the nonlinear vibrations of micro-resonators ex...
In many engineering applications the dynamics may significantly be affected by nonlinear effects, wh...
A method of stochastic finite element analysis is developed in this study to solve for the response ...
International audienceThe present paper proposes the use of discrete time Volterra series expanded w...
Linear mechanical oscillators have been applied to measure very small forces, mostly with the help o...
In this paper, a strongly nonlinear beam-impact system under both broad-banded and small-banded, Gau...
In this paper, a strongly nonlinear beam-impact system under both broad-banded and small-banded, Gau...
In this paper, the problem of random vibration of geometrically nonlinear MDOF structures is conside...
Stochastic finite element methods (SFEM) have been developed for thirty years to study uncertainty p...
International audienceThis work proposes a model of a nonlinear beam-shaker as a Duffing oscillator....
National audienceThe goal of this work is to identify the probability density function associated wi...
The response of strongly nonlinear dynamic systems to stochastic excitation exhibits many interestin...
International audienceThe damage detection problem becomes a more difficult task when the intrin-sic...
With an ongoing desire to improve product performance, in combination with the continuously growin...
Stochastic or random vibrations occur in a variety of applications of mechanicalengineering. Example...
The main aim of this work is numerical solution of the nonlinear vibrations of micro-resonators ex...
In many engineering applications the dynamics may significantly be affected by nonlinear effects, wh...
A method of stochastic finite element analysis is developed in this study to solve for the response ...
International audienceThe present paper proposes the use of discrete time Volterra series expanded w...
Linear mechanical oscillators have been applied to measure very small forces, mostly with the help o...
In this paper, a strongly nonlinear beam-impact system under both broad-banded and small-banded, Gau...
In this paper, a strongly nonlinear beam-impact system under both broad-banded and small-banded, Gau...
In this paper, the problem of random vibration of geometrically nonlinear MDOF structures is conside...
Stochastic finite element methods (SFEM) have been developed for thirty years to study uncertainty p...